Space Intelligence Developer

6 days ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Title

A data expert will be part of our global team working on space intelligence products. The role involves exploring different use cases for satellite technology and collaborating with the CTO to strategize product and company direction.

  • Key Responsibilities:
    • Develop modern AI tools to enhance productivity in the data science lifecycle (data wrangling, model design, testing, documentation).
    • Design and implement state-of-the-art computer vision and machine learning models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
    • Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
    • Provide model operations, orchestration, and workflow best practices.
    • Cross-functional collaboration: work with GIS engineers, software teams, and product managers to integrate ML solutions into the broader pipeline.
    • Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.
    • Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
    • Clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.
    • Ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.

Success Metrics:

  • Delivery of machine learning modules on schedule for satellite missions or user trials.
  • Work on the deployment of products for multiple satellite missions.
  • Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
  • Effective collaboration and communication across distributed teams.
  • Contributions that shape the product roadmap and strengthen our position in edge-based space intelligence.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • 3–8 years of experience in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
  • Strong proficiency in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV.
  • General software engineering skills: cloud infrastructure, Docker, git best practices, etc.
  • Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.
  • Experience with architectures such as CNNs, ViTs, GANs, and foundational models is required.
  • Good understanding of embedded systems from the perspective of deploying AI.
  • Edge AI focus: experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).

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